Toughening self-healing elastomer crosslinked by metal-ligand coordination through mixed counter anion dynamics.
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
18 Aug 2023
18 Aug 2023
Historique:
received:
17
01
2023
accepted:
10
08
2023
medline:
19
8
2023
pubmed:
19
8
2023
entrez:
18
8
2023
Statut:
epublish
Résumé
Mechanically tough and self-healable polymeric materials have found widespread applications in a sustainable future. However, coherent strategies for mechanically tough self-healing polymers are still lacking due to a trade-off relationship between mechanical robustness and viscoelasticity. Here, we disclose a toughening strategy for self-healing elastomers crosslinked by metal-ligand coordination. Emphasis was placed on the effects of counter anions on the dynamic mechanical behaviors of polymer networks. As the coordinating ability of the counter anion increases, the binding of the anion leads to slower dynamics, thus limiting the stretchability and increasing the stiffness. Additionally, multimodal anions that can have diverse coordination modes provide unexpected dynamicity. By simply mixing multimodal and non-coordinating anions, we found a significant synergistic effect on mechanical toughness ( > 3 fold) and self-healing efficiency, which provides new insights into the design of coordination-based tough self-healing polymers.
Identifiants
pubmed: 37596250
doi: 10.1038/s41467-023-40791-z
pii: 10.1038/s41467-023-40791-z
pmc: PMC10439188
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5026Subventions
Organisme : National Research Foundation of Korea (NRF)
ID : NRF-2021M3H4A1A04092882
Organisme : Korea Advanced Institute of Science and Technology | KAIST Wearable Platform Material Technology Center (Wearable Platform Materials Technology Center)
ID : NRF-2022R1A5A6000846
Organisme : Ministry of Trade, Industry and Energy, Korea | Korea Evaluation Institute of Industrial Technology (KEIT)
ID : 1415180859
Informations de copyright
© 2023. Springer Nature Limited.
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